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Data Architect – Technical

Paralucent Inc

Toronto

Hybrid

CAD 80,000 - 120,000

Full time

6 days ago
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Job summary

A leading company in the banking industry is seeking a Data Architect – Technical in Toronto to implement data infrastructure for a major AWS-based initiative. The role involves designing data pipelines and optimizing data processes, requiring strong expertise in AWS services and over 7 years of related experience.

Qualifications

  • 7+ years of experience as a data engineer, architect, or developer in enterprise environments.
  • Strong hands-on skills in Python and SQL.
  • Expertise in AWS services related to data architecture.

Responsibilities

  • Design and implement data pipelines, ETL/ELT workflows, and AWS-based infrastructure.
  • Build and integrate API connections and data ingestion paths.
  • Develop and optimize data lake components using AWS services.

Skills

Python
SQL
Data Pipeline Development

Tools

AWS Redshift
AWS Glue
AWS S3
AWS Lambda

Job description

We are looking for a Data Architect – Technical to lead the hands-on implementation of data infrastructure and integrations as part of a major AWS-based data lake initiative. This role will work closely with the Senior Solutions Consultant to build, deploy, and optimize data systems that meet the bank’s business objectives.

Key Responsibilities:

  • Design and implement data pipelines, ETL/ELT workflows, and AWS-based infrastructure

  • Translate high-level solution designs into technical architecture and executable code

  • Build and integrate API connections, data ingestion paths, and transformation layers

  • Develop and optimize data lake components using AWS services (e.g., S3, Glue, Lambda, Redshift, Athena)

  • Ensure data infrastructure is scalable, secure, and efficient

  • Collaborate with data teams, developers, and business analysts to deliver high-quality solutions

Support ongoing platform optimization and system enhancements


  • 7+ years of experience as a data engineer, architect, or developer in enterprise environments

  • Strong hands-on skills in Python, SQL, and data pipeline development

  • Expertise in AWS services related to data architecture (e.g., Redshift, Glue, S3, Lambda)

  • Proven ability to deliver complex integrations and data workflows

  • Experience in financial services is preferred

  • Ability to collaborate closely with strategic roles and adapt technical plans to business needs

Location: Hybrid – Toronto
Duration: 12 months, with potential for extension
Industry: Banking / Financial Services

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